In this episode, Ryan Hanley, CEO of Task TASKD, discusses how AI can transform regulated industries by creating deterministic, trustable decision systems. He shares insights from his background in blockchain, compliance, and enterprise AI, emphasizing the importance of structured data, decision layers, and practical applications in government and business.

key topics

Deterministic AI systems in regulated industries

Data structuring and knowledge graphs

AI adoption challenges and opportunities

Regulatory compliance and auditability

Practical AI applications in government and enterprise

Titles

Building Trustable AI Systems for Regulated Industries

How Deterministic AI Transforms Compliance and Governance

sound bites

"This layer ensures decisions are rule-based and auditable."

"Public data can uncover governance issues in record time."

"Data scattering hampers enterprise AI effectiveness."

Chapters

00:00 Introduction to AI Interconnect Podcast

01:02 Ryan Hanley's Journey to Task D

06:19 Understanding Task D's Unique Approach

12:43 The Alberta Government AI Hackathon Case Study

17:28 Challenges in AI Adoption and Accountability

26:33 Future Success and Focus for TaskD

Ryan Hanley's LinkedIn - https://www.linkedin.com/in/rhanley/

keywords

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#ArtificialIntelligence #AIGovernance #ExplainableAI #DeterministicAI #ComplianceAI #EnterpriseSoftware #KnowledgeGraphs #DecisionIntelligence #AICompliance #EnterpriseAutomation #AITechnology #AIInfrastructure #AIAuditability #AIAgents #MachineLearning #BusinessTechnology

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Ryan Hanley, Founder & CEO of TASKD, joins AI InterConnect to discuss one of the most important challenges in artificial intelligence today: trust.

In this episode, Ryan explains why enterprise AI needs a deterministic decision layer, how knowledge graphs can transform fragmented business data into actionable intelligence, and why explainability, governance, and compliance are becoming essential for organizations deploying AI at scale.

We also explore TASKD’s Alberta Government AI challenge, where their platform analyzed millions of records, surfaced governance risks, and demonstrated how AI can provide transparent, auditable decision-making.

If you’re interested in enterprise AI, compliance automation, AI governance, knowledge graphs, fintech, insurtech, or the future of AI infrastructure, this episode delivers valuable insights.

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